Required cloud depth Advanced GCP architecture, containers, Kubernetes, infrastructure as code and Terraform; deep configuration management, reproducibility, drift diagnosis and recovery. Engineer secure, resilient, and maintainable platform capabilities.
Delivery tooling Deep Harness CI/CD; GitHub Enterprise, GitHub Actions, IDP and Backstage. Assemble evolving enterprise templates; integrate artifacts, promotion, required certifications, gates and validated evidence.
Tool integration Python automation/orchestration, OpenAPI/API contracts, MCP and local agents. Connect human-driven tools and external systems with controlled access, traceable context and failure handling.
Agentic controls RAG and agent-assisted assessments where practical; validate retrieval scope, provenance and generated reports.



Apply responsible AI and security controls; support downstream control teams and accountable approval decisions.
Operational feedback Production-service support, observability and incident integration.
Connect root-cause analysis, triage and treatment to Jira, verification and Confluence guidance; maintain a closed improvement loop.
Hands-on leadership VS Code, GitHub Copilot, coding, infrastructure review and testing.
Mentor engineers and contribute architecture decisions.
Understand DDD, Java/Quarkus, Kafka and CQRS implications for deployment and recovery.

📌 Devops With Ai Tool Bengaluru
🏢 Wipro
📍 Bengaluru